CI/CD Pipeline Status
π GitHub Push Successful
Repository: https://github.com/EAName/FREDML
Branch: main
Commit: 25a6fd4
- "feat: Complete project cleanup and professional structure"
Status: β
PUSHED SUCCESSFULLY
π What Was Pushed
π§Ή Project Cleanup
- β
Removed clutter files (
.coverage
,__pycache__
, etc.) - β
Moved demo HTML files to
data/exports/demo/
- β Reorganized scripts directory
- β
Updated
.gitignore
with comprehensive rules
π Professional Structure
- β Clean root directory
- β Logical file organization
- β Professional documentation
- β Enterprise-grade structure
π CI/CD Workflows Added
- β
Main CI/CD Pipeline (
.github/workflows/ci-cd.yml
) - β
Pull Request Checks (
.github/workflows/pull-request.yml
) - β
Release Management (
.github/workflows/release.yml
) - β
Scheduled Maintenance (
.github/workflows/scheduled.yml
)
π§ͺ Testing Infrastructure
- β Comprehensive test suite
- β Unit, integration, and E2E tests
- β Automated test runners
- β Development testing tools
π Documentation
- β Professional README
- β Conversation summary
- β Deployment guides
- β Architecture documentation
π Expected CI/CD Pipeline Actions
1. Main CI/CD Pipeline (Triggered on push to main)
Code Quality Checks
- Linting with flake8
- Type checking with mypy
- Security scanning with bandit
- Code formatting with black
Testing
- Unit tests execution
- Integration tests
- End-to-end tests
- Coverage reporting
Build & Deploy
- Docker image building
- AWS infrastructure deployment
- Lambda function updates
- S3 bucket configuration
2. Quality Gates
- Automated Testing: All tests must pass
- Code Quality: Linting and formatting checks
- Security: Vulnerability scanning
- Documentation: Automated doc generation
3. Deployment Steps
- Infrastructure: AWS resources deployment
- Application: Lambda function updates
- Frontend: Streamlit app deployment
- Monitoring: CloudWatch setup
π Monitoring the Pipeline
GitHub Actions Dashboard
URL: https://github.com/EAName/FREDML/actions
Expected Workflow Names:
- CI/CD Pipeline - Main deployment workflow
- Pull Request Checks - Code quality validation
- Scheduled Maintenance - Automated updates
- Release Deployment - Version management
Status Indicators:
- π’ Green: All checks passed
- π‘ Yellow: Some checks in progress
- π΄ Red: Failed checks (requires attention)
π― Next Steps
1. Monitor Pipeline
- Check GitHub Actions dashboard
- Review any failed checks
- Address any issues found
2. Verify Deployment
- Confirm AWS resources created
- Test Lambda functions
- Validate Streamlit app
3. Production Readiness
- Security review
- Performance testing
- Documentation updates
π Success Metrics
β Completed
- Professional project structure
- Comprehensive CI/CD setup
- Complete testing infrastructure
- Professional documentation
- GitHub push successful
π In Progress
- CI/CD pipeline execution
- Automated testing
- Infrastructure deployment
- Quality gate validation
π Next
- Pipeline monitoring
- Deployment verification
- Production readiness
- Performance optimization
Status: π DEPLOYED TO GITHUB
Next: π MONITORING CI/CD PIPELINE
Goal: π― PRODUCTION-READY SYSTEM